Gen AI/ML Engineer (NLP & Agentic AI)

Job Description

Hello Connections

We have an Urgent Hiring for an "AI/ML Engineer" in Alpharetta, GA (Hybrid 3 Days a Week)

Below is the Job Description.

**H1B, H4 & USC Only** (W2 Preferred)

Experience: 8-12+ years

Gen AI/ML Engineer

Alpharetta, GA (Hybrid 3 Days a Week)

Full Time/W2

Artificial intelligence engineers leverage deep learning, neuro-linguistic programming (NLP), chatbots, knowledge graphs, generative AI, and agentic / robotic platforms to improve business outcomes and drive innovation.

The engineer will be part of a multidisciplinary team focused on shaping AI strategy and roadmaps by showcasing the potential for AI through early-stage solutions. This provides an opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:

• Manage and direct processes and R&D (research and development) to meet the needs of AI strategy

• Understand company and client challenges and how integrating AI capabilities can help lead to solutions

• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit

• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards

Responsibilities:

• Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI

• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership

• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation

• Manage a team in conducting assessments of the AI and automation market and competitor landscape

• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation

Required skills and qualifications:

• 8+ years of experience in applying AI to practical and comprehensive technology solutions

• Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen)

• Experience in program leadership, governance, and change enablement

• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns

• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Qualifications:

• Bachelor’s or master's degree in computer science or related field

• Experience with innovation accelerators

• Experience with cloud environments

[About Ccube]

Ccube: Pioneering Data-Driven Solutions in the Cloud

Ccube is a specialized firm that delivers measurable results across a wide range of industries by

focusing exclusively on Data and Artificial Intelligence within Cloud environments. We leverage

cutting-edge technologies and innovative strategies to help our clients harness the power of data

and achieve their business objectives.

Core Competencies:

Strategic Planning and Design of Data Systems: We collaborate with our clients to develop

comprehensive data strategies and design robust data systems that align with their business

goals. Our team of experts provides guidance on data architecture, data governance, and data

management best practices.

Development and Unification of Data Frameworks: We build and integrate data frameworks

that enable seamless data flow and analysis. Our solutions facilitate data ingestion, data

transformation, and data storage, ensuring data is readily available for business intelligence and

decision-making.

Advanced Data Analysis and Artificial Intelligence Applications: We employ sophisticated

data analysis techniques and artificial intelligence algorithms to extract valuable insights from

data. Our solutions include predictive modeling, machine learning, and natural language

processing, enabling our clients to make data-driven decisions and optimize their operations.

Cloud Computing, Data Operations, and Machine Learning Operations: We leverage the

scalability and flexibility of cloud computing to deliver efficient and cost-effective data solutions.

Our team of experts manages data operations and machine learning operations, ensuring

seamless integration and optimal performance.

Organizational Principles at Ccube:

At Ccube, we are guided by a set of core principles that shape our culture and drive our success:

Efficiency: We strive to maximize efficiency by optimizing resource utilization and streamlining

processes.

Client Satisfaction: We are committed to providing exceptional service and exceeding our clients'

expectations.

Innovation: We embrace innovation and continuously explore new technologies and approaches

to deliver cutting-edge solutions.

Humility: We maintain professional modesty and recognize that there is always room for

improvement.

Employee Advantages:

Ccube offers a stimulating and rewarding work environment with numerous benefits for our

employees:

Dynamic Startup Environment: We provide a fast-paced and entrepreneurial environment where

employees can learn, grow, and make a significant impact.

Career Growth Opportunities: We offer ample opportunities for career advancement and

professional development.

Performance-Based Incentives: We reward high-performing employees with competitive

compensation and performance-based bonuses.

Equity Participation: We offer equity participation options to eligible employees, providing them

with ownership and a stake in the company's success.

Professional Development Reimbursement: We encourage continuous learning and reimburse

employees for eligible professional development expenses.

Join Ccube and be part of a team that is shaping the future of data and AI in the cloud.

Powered by JazzHR

4eRTpUyLZq

Full-time

Hybrid remote